Resource Scheduling Model in Computing Power Network: An Efficient and Low-Carbon Approach Using Game Theory

Data centers are facing high energy consumption and high carbon emissions. China set up a computing power network, to transmit data from the east to clean electricity-rich western data centers for processing. This letter proposes a resource scheduling model using game theory to sort out the conflicting demands within the network. The interrelationships and constraints among data processing task requirements, computing power resources, clean electricity, and communication network resources were formulated. The resource scheduling scheme was developed through conflict analysis of the two competing entities. The results show the strategy supports the operation of the computing power network, which decreases the utilization of thermal electricity and enhances the quality of task completion.